首页|Recent Research from Guilin University of Electronic Technology Highlight Findin gs in Machine Learning (Svca: Secure and Verifiable Chained Aggregation for Priv acy-preserving Federated Learning)
Recent Research from Guilin University of Electronic Technology Highlight Findin gs in Machine Learning (Svca: Secure and Verifiable Chained Aggregation for Priv acy-preserving Federated Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According tonews reporting originating in Guilin, Peop le’s Republic of China, by NewsRx journalists, research stated,“Federated learn ing (FL), as a distributed machine learning paradigm, enables multiple users to trainmachine learning models locally using individual data and then update glob al model in a privacy-preservingaggregated manner. However, in FL, the user’s m odel parameters are at risk of a privacy breach.”
GuilinPeople’s Republic of ChinaAsiaCybersecurityCyborgsEmerging TechnologiesMachine LearningRisk and Prev entionGuilin University of Electronic Technology
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